diff --git a/Tuesday/GREAT/GREAT_analysis_forEpigenomicData.md b/Tuesday/GREAT/GREAT_analysis_forEpigenomicData.md
index b6be681b64a0424d777b86a52aba1a49fb72a916..d585d0a81a4a861e09785804e761e0ceac3bdc2c 100644
--- a/Tuesday/GREAT/GREAT_analysis_forEpigenomicData.md
+++ b/Tuesday/GREAT/GREAT_analysis_forEpigenomicData.md
@@ -20,8 +20,7 @@ ChIPseq analyis done using hg19.
 
 * Go to http://great.stanford.edu/public/html/
 
-
-* Choose test and backgroung regions 
+* Choose the test and backgroung regions. 
   <details>
     <summary markdown="span">How how you chose the background regions?</summary>
 
@@ -29,10 +28,10 @@ ChIPseq analyis done using hg19.
 
   </details>
 
-* Define association rules. What's the main effect of the the different rules? 
+* Define the association rules. What's the main effect of the the different rules? 
 
 * Repeat the analysis for the 4 clusters.
 
 ## Conclude
 
-Use the output to identify if there is a functional difference between the SUMO regions associated to each profile. How would you proceed?
+Use the output to identify if there is any functional difference between the SUMO regions associated to each profile. How do you proceed?